Author

Amirozhan Dehghani

McGill University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1

Frequent Co-Authors

Asa FarahaniiD· 1 shared Pouya BashivaniD· 1 shared Xinyu Qian· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Asa FarahaniORCID

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1 paper

Recent·Most cited

Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks

Xinyu Qian, Amirozhan Dehghani, Asa Farahani, Pouya Bashivan

This paper shows that local lateral connectivity in deep neural networks can replicate cortex-like topographical organization without explicit learning rules.

Nature Communications · Mar 17, 2026Peer-reviewedNeuroscience